In the United States, there is currently significant growth in the construction of healthcare facilities. This healthcare construction boom is driven by multiple factors including population shifts within the U.S.; aging facilities which no longer meet modern operational practices and efficiencies; and significant shifts in building code requirements. The last major healthcare construction boom...

We are interested in fundamental decision and design problems in human-machine collaboration and skill-augmentation, with a focus on healthcare. Inference and optimization in healthcare are often hard multi-stage stochastic models, but we explore efficient reformulations and heuristics with guarantees. Specifically, we have studied algorithmically grounded solutions for integration of autonomy ...

Purpose: Process optimization in healthcare using artificial intelligence (AI) is still its infancy. In this study, we address the research question “To what extent can an AI-driven chatbot help to optimize diagnostic process?”
 Design / Method Approach: First, developed a mathematical model for utility (i.e., total satisfaction received from consuming good or service) resulting process pr...

CAIPIRINHA-DIXON-TWIST-VIBE-Based Dynamic Contrast-Enhanced Breast Imaging For High Temporal and Spatial Resolution: Scanning Time Optimization Wen Hao, Bin Zhao, Hui Liu, Marcel D. Nickel, Elisabeth Weiland, and Guangbin Wang Magnetic resonance imaging, Shandong medical imaging research institution, Shandong University, Jinan, ShanDong, China, MR Collaboration NE Asia, Siemens Healthcare, Shan...

The home healthcare staff scheduling problem is concerned with the allocation of care tasks to healthcare staff at a minimal cost, subject to healthcare service requirements, labor law, organizational requirements, staff preferences, and other restrictions. Healthcare service providers strive to meet the time window restrictions specified by the patients to improve their service quality. This p...

In this paper, the problem of population districting in the health system of South Khorasan province has been investigated in the form of an optimization problem. Now that the districting problem is considered as a strategic matter, it is vital to obtain efficient solutions in order to implement in the system. Therefore in this study two meta-heuristic algorithms, Ant Lion Optimizer (ALO) and G...

INTRODUCTION: The appropriate-use optimization of the limited spaces of the Iranian hospitals is believed to be a crucial step towards promoting the efficiency of these healthcare centers. The issue determining the optimization patterns of the layout of units has led to a lot of efforts by researchers as it increases the efficiency of the hospitals through patients’ improvement, changing the lo...